Turing
AI-run vetting across millions of developer profiles
What is Turing?
Turing was founded in Palo Alto in 2018 and built its developer marketplace on automated vetting. A company executive has said its system evaluated about two million developers and passed more than 50,000 through technical exams and interviews. That machinery makes it fast for common roles. Its business has shifted, though: much of its revenue now comes from producing training data for AI labs, and in 2026 it recruits doctors and accountants for that work alongside engineers. Third-party guides estimate $100 to $200 an hour for mid to senior developers, but Turing publishes no rate card.
Turing works primarily with clients in Technology, AI labs, Finance, Healthcare, Retail sectors. Its primary differentiator is: Automated vetting and matching across the largest developer pool on this page.
Turing tech stack and services
| Service area |
|---|
| ML Engineers |
| LLM Engineers |
| Data Engineers |
| Dedicated Teams |
| Talent Marketplace |
Turing pricing
Short answer: Turing uses a monthly or hourly per developer; no public rate card; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated engineer | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Freelance contract | Variable; depends on team size | Large programmes or team augmentation |
Turing pros and cons
| Advantages | Things to consider |
|---|---|
| +Can match many engineers at once across time zones | -Vetting is mostly automated, with less human technical judgment than engineer-led screens |
| +Huge pool makes rare stack combinations easier to find | -Revenue now leans toward AI training data, which may pull attention from staffing clients |
| +Experience supplying engineers to AI labs | -No published rates; third-party estimates are high |
Turing vs alternatives
How Turing compares to the other top AI Engineer Staffing companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | CTOs who want an engineer, not a recruiter,... | Senior AI engineers run a code review and a specialization-specific task on every candidate | 4.8 | Full comparison |
| deepsense.ai | Teams that need a senior ML researcher who... | A research-heavy bench of about 120 employed AI specialists with ten years of production work | 4.6 | Full comparison |
| Toptal | Engineering leads who need one senior freelance ML... | Multi-stage screening that ends with interviews by senior engineers and a test project | 4.5 | Full comparison |
| Proxify | European companies that want a vetted ML or... | Senior-engineer interviews with live coding after an automated skills test | 4.4 | Full comparison |
| InData Labs | Product teams that need a computer-vision or NLP... | Ten years of computer-vision and NLP delivery in an AI-only company | 4.4 | Full comparison |
| Quantiphi | Enterprises that need many AI roles filled at... | The biggest AI-only bench here, sold through a named staffing program with AWS | 4.3 | Full comparison |
| Neurons Lab | Banks and insurers that need agent or LLM... | A 500-engineer network managed by a small AI-only core team in London | 4.3 | Full comparison |
| Index.dev | Startups that want a 30-day refundable trial before... | A 30-day trial with full refund on every placement | 4.2 | Full comparison |
| Vstorm | Teams whose LLM agent prototype needs engineers who... | A team that works almost entirely on LLM agents and RAG | 4.2 | Full comparison |
| Andela | Companies building a long-term remote engineering group outside... | Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy | 4.1 | Full comparison |
| Uvik Software | Python-heavy teams that want employed senior engineers rather... | A no-freelancer policy with senior Python engineers who average seven years or more | 4.1 | Full comparison |
| SciForce | Healthcare data teams that need NLP or data... | Medical data science experience plus a documented multi-year placement engagement | 4.0 | Full comparison |
| Fusemachines | Cost-conscious companies that want mid-level ML engineers from... | Its own AI education programs feed an employed bench in emerging markets | 4.0 | Full comparison |
| Addepto | Industrial and automotive companies that need data engineers... | Data and ML engineers with industrial and automotive client history | 4.0 | Full comparison |
| Folio3 | Teams that need an MLOps or computer-vision engineer... | Very fast start times with a two-week trial and offshore pricing | 3.9 | Full comparison |
| Azumo | U.S. teams on a tight budget that need... | The lowest published hourly band on this page with full U.S. time-zone overlap | 3.9 | Full comparison |
| BairesDev | U.S. companies that need ML engineers alongside a... | Thousands of Latin American engineers available in U.S. time zones | 3.9 | Full comparison |
| N-iX | Large companies that want ML and data engineers... | Scale and two decades of history in Central European delivery | 3.9 | Full comparison |
| Svitla Systems | Mid-size companies that want one supplier for ML... | Engineers in both Latin American and European time zones from one supplier | 3.9 | Full comparison |
| Data Science UA | Companies that want to hire Ukrainian ML engineers... | A large AI community and conference series that feeds its recruiting | 3.8 | Full comparison |
| Tribe AI | Leadership teams that want a part-time senior ML... | Part-time access to senior ML practitioners from large tech companies | 3.8 | Full comparison |
| Strider | U.S. startups that want to hire a Latin... | Hiring plus retention support for Latin American developers | 3.8 | Full comparison |
| Coderio | U.S. teams that need a managed nearshore squad... | Squads assembled within seven days, with managed delivery as an option | 3.8 | Full comparison |
| Qubit Labs | Cost-conscious teams that can write a precise brief... | Recruiting across several lower-cost Eastern European countries | 3.7 | Full comparison |
| micro1 | AI teams that need many vetted contributors quickly... | Automated AI interviews that screen candidates in high volume | 3.7 | Full comparison |
| Mercor | AI labs and research teams that need specialist... | AI-run interviews and matching built for high-volume expert hiring | 3.7 | Full comparison |
| Harnham | Companies hiring permanent data or ML staff in... | Twenty years of recruiting only in data and analytics | 3.7 | Full comparison |
| KORE1 | U.S. companies that want a local agency to... | A U.S. staffing agency with contract-to-hire terms for AI roles | 3.6 | Full comparison |
Turing FAQ
What is Turing?
AI-run vetting across millions of developer profiles
How much does Turing charge?
Turing uses monthly or hourly per developer; no public rate card; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Turing use?
Turing works with Python, PyTorch, TensorFlow, OpenAI, LangChain, AWS, Google Cloud, Azure. Primary industries served include Technology, AI labs, Finance, Healthcare, Retail.
Is Turing right for enterprise?
Companies that need many remote ML and data engineers quickly and value speed over hand-picked screening. Staff size not published; multi-million talent pool team size. Key consideration: Vetting is mostly automated, with less human technical judgment than engineer-led screens.
What are the best Turing alternatives?
The best alternatives to Turing depend on your use case. Top options are:
- Tensorway: senior ai engineers run a code review and a specialization-specific task on every candidate
- deepsense.ai: a research-heavy bench of about 120 employed ai specialists with ten years of production work
- Toptal: multi-stage screening that ends with interviews by senior engineers and a test project
Compare Turing with other AI Engineer Staffing companies
Verify all details directly with Turing before making a decision.